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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 171
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Telltale: Netflix Application Monitoring Simplified

The Netflix TechBlog

A metric crossed a threshold. Metrics are a key part of understanding application health. But sometimes you can have too many metrics, too many graphs, and too many dashboards. Telltale uses a variety of signals from multiple sources to assemble a constantly evolving model of the application’s health: Atlas time series metrics.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

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Netflix Video Quality at Scale with Cosmos Microservices

The Netflix TechBlog

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. It has become a de facto standard for perceptual quality measurements within Netflix and, thanks to its open-source nature , throughout the video industry. As before, the start time for each metric’s assembly can vary.

Media 171
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

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The Best Way to Host MongoDB on DigitalOcean

Scalegrid

MongoDB is the #3 open source database and the #1 NoSQL database in the world. Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. DigitalOcean Droplets. Monitoring is also a huge component to managing a MongoDB deployment.

Azure 187